Abstrakti
This paper focuses on automatic determination of the distributional preferences of words in Russian. We present the comparison of six different measures for collocation extraction, part of which are widely known, while others are less prominent or new. For these metrics we evaluate the semantic stability of automatically obtained bigrams beginning with single-token prepositions. Manual annotation of the first 100 bigrams and comparison with the dictionary of multi-word expressions are used as evaluation measures. Finally, in order to present error analysis, two prepositions are investigated in some details.
| Alkuperäiskieli | englanti |
|---|---|
| Otsikko | Proceedings : Workshop on Computational, Cognitive, and Linguistic Approaches to the Analysis of Complex Words and Collocations (CCLCC 2014) |
| Toimittajat | Verena Henrich, Erhard Hinrichs |
| Sivumäärä | 7 |
| Julkaisupaikka | Tübingen |
| Kustantaja | University of Tübingen |
| Julkaisupäivä | 2014 |
| Sivut | 27-33 |
| Tila | Julkaistu - 2014 |
| OKM-julkaisutyyppi | A4 Artikkeli konferenssijulkaisuussa |
| Tapahtuma | Workshop on Computational, Cognitive, and Linguistic Approaches to the Analysis of Complex Words and Collocations - Tübingen, Saksa Kesto: 11 elokuuta 2014 → 15 elokuuta 2014 Konferenssinumero: CCLCC 2014 |
Tieteenalat
- 6121 Kielitieteet
Siteeraa tätä
Kormacheva, D., Pivovarova, L., & Kopotev, M. (2014). Automatic Collocation Extraction and Classification of Automatically Obtained Bigrams. teoksessa V. Henrich, & E. Hinrichs (Toimittajat), Proceedings: Workshop on Computational, Cognitive, and Linguistic Approaches to the Analysis of Complex Words and Collocations (CCLCC 2014) (Sivut 27-33). Tübingen: University of Tübingen.